📡 SCORES
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⚡ Nex Board

Mixed ranking engine — sides + props scored, ranked, and graded. Top 4 daily picks.

Nex Board Record
1D 7D 14D 30D |
← Jul 2 – Jul 31 →
Wins
78
Losses
59
Push
18
Win %
56.9%
Pending
0
Record based on top 6 Nex Board prop picks daily (all sports), ranked by card score.
Sat 10/17 Fri 10/16 Thu 10/15 Wed 10/14 Tue 10/13 Mon 10/12 Sun 10/11 Sat 10/10 Fri 10/9 Thu 10/8 Wed 10/7 Tue 10/6 Mon 10/5 Sun 10/4
Sport: All NBA MLB NFL WNBA
Stat:
🤖 AI Plays
1
Arike Ogunbowale
DAL @ WSH WNBA
Points 14.5 OVER
78.7 B+
  • Projected edge vs line
  • Heavy minutes projection
  • Stable player role
Raw
80
Clean
28.5
Fit
4
2
Arike Ogunbowale
DAL @ WSH WNBA
Rebounds 2.5 OVER
69.5 B
  • Heavy minutes projection
  • Stable player role
Raw
54
Clean
27.3
Fit
5
3
Flau'jae Johnson
SEA @ ATL WNBA
Points 13.5 OVER
68.9 B-
  • Projected edge vs line
  • Heavy minutes projection
  • Stable player role
Raw
72
Clean
21.9
Fit
4
4
Awa Fam
SEA @ ATL WNBA
Rebounds 5.5 OVER
67.5 B-
  • Heavy minutes projection
  • Stable player role
Raw
59
Clean
22.4
Fit
5

📋 Full Board (1530 picks · Page 8/62)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
176 Andy Pages LAD BOS @ LAD Total Bases 1.5 30.5 D 17.2 0 Pending
177 Anthony Seigler BOS BOS @ LAD Hits 0.5 30.5 D 17.2 0 Pending
178 Cedric Mullins TB CWS @ TB Total Bases 1.5 30.5 D 17.2 0 Pending
179 Christian Encarnacion-Strand BAL PHI @ BAL Runs Batted In 0.5 30.5 D 17.2 0 Pending
180 Coby Mayo BAL PHI @ BAL Runs Batted In 0.5 30.5 D 17.2 0 Pending
181 Eduardo Valencia DET DET @ OAK Runs Batted In 0.5 30.5 D 17.2 0 Pending
182 Ezequiel Duran TEX TEX @ HOU Total Bases 1.5 30.5 D 17.2 0 Pending
183 Griffin Conine MIA MIA @ NYM Total Bases 1.5 30.5 D 17.2 0 Pending
184 Jarren Duran BOS BOS @ LAD Hits 0.5 30.5 D 17.2 0 Pending
185 Taylor Trammell HOU TEX @ HOU Total Bases 1.5 30.5 D 17.2 0 Pending
186 Andy Pages LAD BOS @ LAD Runs Batted In 0.5 30.2 D 17.2 0 Pending
187 Coby Mayo BAL PHI @ BAL Hits 0.5 30.2 D 17.2 0 Pending
188 Jackson Holliday BAL PHI @ BAL Runs Batted In 0.5 30.2 D 17.2 0 Pending
189 Manny Machado SD SF @ SD Runs Batted In 0.5 30.2 D 17.2 0 Pending
190 Rafael Devers SF SF @ SD Hits 0.5 30.2 D 17.2 0 Pending
191 Tommy Edman LAD BOS @ LAD Hits 0.5 30.2 D 17.2 0 Pending
192 Tyler Tolbert KC KC @ COL Hits 0.5 30.2 D 17.2 0 Pending
193 Kelsey Mitchell IND @ POR Assists 2.5 29.9 D 9.2 5 Pending
194 Francisco Lindor NYM MIA @ NYM Total Bases 1.5 29.3 D 17.2 0 Pending
195 Daylen Lile WSH WSH @ ATL Total Bases 1.5 29 D 17.2 0 Pending
196 Kelsey Mitchell IND @ POR 3-Pointers Made 2.5 29 D 3.5 0 Pending
197 Anthony Seigler BOS BOS @ LAD Total Bases 1.5 28.3 D 17.2 0 Pending
198 CJ Abrams WSH WSH @ ATL Total Bases 1.5 28.3 D 17.2 0 Pending
199 Nathan Eovaldi TEX TEX @ HOU Strikeouts 6.5 23.3 D 12.9 -5 Pending
200 Ranger Suarez BOS BOS @ LAD Strikeouts 5.5 22.9 D 13.7 -5 Pending
Showing 176–200 of 1530 picks
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Methodology

A unified ranking engine that scores every pick on a 0–100 scale — props, sides, and totals on one board.

The Nex Engine doesn't just find edges — it ranks them. Every candidate pick runs through a four-layer scoring system that weighs the raw data, the play type's historical reliability, role stability, and how well it fits a winning daily card. The result is a single number that tells you exactly where each play stands relative to every other play on the board.

The 4 Scoring Dimensions

Raw Edge (50% weight) — The foundation. For props, this measures hit rate vs. the line, projected stat edge, minutes security, role stability, and usage opportunity. For sides, it factors injury edge, home court advantage, team strength gaps, recent form, and market alignment. This is where the pure data advantage lives.

Play-Type Trust — Not all play types are created equal. Moneylines on home favorites, star player rebounds, and small spreads have historically higher conversion rates — so they score higher. Role-player 3PM props and large spreads get docked because the variance is too high. This layer filters out plays that look good on paper but don't cash consistently.

Cleanliness — A stability check. Star players with locked-in minutes and defined roles score higher. Bench players, blowout-risk games, injury-dependent usage bumps, and hot-shooting reliance all get penalized. Clean plays are repeatable plays.

Card Fit — Built for daily card construction. This layer favors the pick types that historically perform on daily cards — moneylines, star rebounds and assists, tight spreads. It deprioritizes picks that might have edge in isolation but don't build well into a cohesive card.

Reading the Board

Score 75+ — Elite territory. These plays have strong edge across all four dimensions. The engine's highest conviction picks.

Score 65–74 — Strong plays with solid fundamentals. Multiple dimensions are firing and the overall profile is clean.

Score 55–64 — Above average. The edge is there, but one or two dimensions may be weaker. Still viable, especially in combination with other signals.

Below 55 — Below the recommended threshold. The engine sees some edge but not enough to rank it as a confident play.

The Nex Board rebuilds automatically as new odds and stats flow in. Scores and rankings can shift throughout the day as the market moves.